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BMO

Control Tester – Data & AI Governance

Reposted 15 Hours Ago
In-Office or Remote
8 Locations
58K-107K Annually
Mid level
In-Office or Remote
8 Locations
58K-107K Annually
Mid level
The Control Tester - Data & AI Governance leads testing activities for Data and AI Governance controls, assessing their effectiveness, documenting findings, and communicating with stakeholders.
The summary above was generated by AI

Application Deadline:

04/29/2026

Address:

320 S Canal Street

Job Family Group:

Business Management

Role Summary

The Control Tester – Data & AI Governance is responsible for executing and leading control testing activities related to Data Governance and AI Governance. This role focuses on assessing design effectiveness and operating effectiveness of controls, understanding end‑to‑end processes through walkthroughs, analyzing governance artifacts, and identifying, documenting, and communicating control issues.

The role requires strong testing judgment, the ability to develop and execute test steps, and effective communication with business partners, risk partners, and control owners.

Key Responsibilities

Control Testing & Assessment

  • Execute design effectiveness (DE) and operating effectiveness (OE) testing of controls related to Data Governance and AI Governance, including data quality, data management, AI lifecycle governance, and ethical AI controls.
  • Develop and document test steps and test scripts aligned to approved testing methodologies and risk frameworks.
  • Perform reperformance testing, sampling, and evidence validation to assess control execution
  • Apply professional judgment to determine control effectiveness and identify control gaps.

Process Understanding & Walkthroughs

  • Lead and conduct walkthroughs with control owners and stakeholders to understand end‑to‑end processes related to in-scope control activities
  • Document process overviews, analyze control descriptions and key risks based on walkthroughs and artifact review.
  • Maintain a working understanding of how data and AI controls operate within business and technology processes.

Artifact Review & Analysis

  • Analyze and assess business and governance artifacts, including:
    • Data governance policies, standards, and procedures
    • Data lineage and data quality documentation
    • AI governance artifacts (e.g., model governance documentation, lifecycle controls, approval evidence)
  • Evaluate whether artifacts sufficiently demonstrate control design and operation.

Issue Identification & Communication

  • Identify, document, and clearly articulate control deficiencies, design gaps, and operating issues, including root cause analysis.
  • Draft clear, risk‑based issue descriptions and support issue validation discussions with business and risk partners.
  • Communicate testing results, issues, and recommendations to stakeholders in a clear and professional manner.

Stakeholder & Risk Partner Engagement

  • Act as a primary testing contact for business partners, technology teams, and risk partners for assigned controls.
  • Support ongoing dialogue to clarify control intent, evidence expectations, and remediation actions.
  • Contribute to continuous improvement of Data & AI governance testing practices.

Documentation & Quality

  • Create and maintain high‑quality testing documentation, including workpapers, test scripts, walkthrough notes, and testing conclusions.
  • Ensure testing work meets quality standards, methodology requirements, and service level expectations.

Qualifications

Required

  • 3–5 years of relevant experience in control testing, risk management, audit, or governance functions.
  • Demonstrated experience performing control design and operating effectiveness testing.
  • Ability to understand and document business and technology processes through walkthroughs.
  • Strong analytical skills with the ability to interpret complex governance and technical artifacts.
  • Strong written and verbal communication skills, including issue writeups and stakeholder discussions.

Preferred

  • Experience in Data Governance, AI Governance, Model Risk Management, or Technology Risk.
  • Familiarity with data management concepts, AI/ML model lifecycles, and governance frameworks.
  • Experience engaging directly with business and risk partners in a testing or oversight capacity.

Salary:

$57,500.00 - $106,500.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact.  We strive to help you make an impact from day one – for yourself and our customers.  We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to [email protected] and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Top Skills

Ai Governance
Data Governance
Data Management
Risk Management

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